Mougkogiannis Panagiotis, Adamatzky Andrew
Unconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.
ACS Omega. 2024 Dec 17;9(52):51098-51119. doi: 10.1021/acsomega.4c06401. eCollection 2024 Dec 31.
We introduce a new abiotic-protein-based substrate for identifying English alphabet characters optically using proteinoids. Proteinoids, which are amino acid polymers produced under thermal stress conditions, have demonstrated promise as materials that are compatible with living organisms and can be used in a wide range of applications. We explore the potential of using proteinoids for the optical stimulation and detection of English alphabet characters. We performed experiments to quantify the potential and period statistics of proteinoids under optical stimulation corresponding to individual alphabet characters. For each character, we recorded the potential statistics, which included amplitude quartiles, mean, maximum, minimum, and standard deviation. Additionally, the statistical measures of the period, including quartiles, mean, maximum, minimum, and standard deviation, were also recorded. The data gathered unveil unique patterns and features for each alphabet character. The potential and period statistics display fluctuations that can be used for character identification. Characters such as 'D', 'H', and 'L' exhibit greater amplitude means in comparison to others, showing their distinct response to optical stimulation. The period data also reveal variations among characters, with certain characters exhibiting durations that are longer or shorter than others. Our research indicates that proteinoids have the potential to be highly effective unconventional materials for accurately identifying English alphabet symbols using light. Through the analysis of potential and period statistics, we may create recognition algorithms capable of distinguishing characters by their optical response. This technique introduces novel opportunities for biocompatible systems that can recognize characters, and it has promise for applications in diverse sectors, including biocomputing and biosensing. Further research is needed to optimize the proteinoid synthesis process, refine the optical stimulation setup, and create reliable recognition algorithms. The data presented serve as a basis for future research in the domain of unconventional computing, especially on abiotic-protein-based computing devices.
我们引入了一种新型的基于非生物蛋白质的底物，用于使用类蛋白质光学识别英文字母。类蛋白质是在热应激条件下产生的氨基酸聚合物，已被证明有望成为与生物相容且可用于广泛应用的材料。我们探索了使用类蛋白质进行英文字母光学刺激和检测的潜力。我们进行了实验，以量化类蛋白质在对应于各个字母的光学刺激下的电位和周期统计数据。对于每个字符，我们记录了电位统计数据，包括幅度四分位数、均值、最大值、最小值和标准差。此外，还记录了周期的统计量度，包括四分位数、均值、最大值、最小值和标准差。收集到的数据揭示了每个字母的独特模式和特征。电位和周期统计数据显示出可用于字符识别的波动。诸如“D”、“H”和“L”等字符与其他字符相比表现出更大的幅度均值，表明它们对光学刺激的独特响应。周期数据也揭示了字符之间的差异，某些字符的持续时间比其他字符长或短。我们的研究表明，类蛋白质有潜力成为使用光精确识别英文字母符号的高效非传统材料。通过对电位和周期统计数据的分析，我们可以创建能够根据光学响应区分字符的识别算法。这项技术为能够识别字符的生物相容性系统带来了新的机遇，并且在包括生物计算和生物传感在内的各个领域都有应用前景。需要进一步研究来优化类蛋白质合成过程、完善光学刺激设置并创建可靠的识别算法。所呈现的数据为非传统计算领域，特别是基于非生物蛋白质的计算设备的未来研究奠定了基础。
